Summary
Savinay Nagendra is a research scientist and Ph.D. graduate in Computer Science and Engineering from Penn State, specializing in computer vision with eight years of industry and academic experience across semantic and instance segmentation, few-shot prompting, and privacy-aware model interpretability. He has led vision projects funded by Google AI, built a few-shot spatial prompt engineering system for Meta’s Segment Anything Model with Schlumberger, and designed multimodal video LLMs and segmentation tools during industry stints at Meta and SLB. His work spans deep learning for high-resolution and satellite imagery, 3D generative modeling, reinforcement learning for oilfield optimization, and developing robust models under differentially private SGD. Based in the San Francisco Bay Area, he combines solid system-building experience with research depth—often translating prototypes into deployed or patent-pursuing pipelines—bringing a rare mix of applied ML engineering and rigorous academic insight.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at PES University
Doctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at Penn State University